Get certified for free when you join Fabric Data Days 2026 and dive into Fabric, Power BI, SQL, AI, and other essential data skills.
Join nowData Days is here! Join us now for 60+ days of learning, challenges, and connection. Learn more
Hello,
I am trying to create a DAX calculated column based on a column from a different table that has a relationship with the main table. I am experiencing some errors when trying to merge several tables with a SharePoint table. Is there a way to create a calculated column based on the relationship?
The two tables have relationship on ID and trying to create a calculated column on Table A based on a date column on Table B using IF function.
So is it possible to use IF function to reference a related table?
Left side is table1 and right side is table2.
| ID | Date1 | Calc Col | ID | Date2 | ||
| 1 | 1/1/2022 | IF(Date1==Date2, 1, 0) | 1 | 1/1/2022 | ||
| 2 | 3/1/2022 | IF(Date1==Date2, 1, 0) | 2 | 3/1/2022 | ||
| 3 | 4/2/2022 | IF(Date1==Date2, 1, 0) | 3 | 4/2/2022 |
Solved! Go to Solution.
Hi,
if i understood your problem you can try this calculated column
If this post is useful to help you to solve your issue consider giving the post a thumbs up
and accepting it as a solution !
Hi @cferv_77,
If you're having troubles with the relationships, you can disable it and try to apply manually using USERELATIONSHIP.
And then create a measure like this, you can also apply some conditional like you mentioned.
Measure =
CALCULATE(
SUM(Table1[Value]),
USERELATIONSHIP(Table1[Id],Table2[ID])
)
Hope it was helpful.
Regards,
Douglas.
Hi,
if i understood your problem you can try this calculated column
If this post is useful to help you to solve your issue consider giving the post a thumbs up
and accepting it as a solution !
Don't miss out on Data Days, June 15 through August 7. Learn Fabric, Power BI, SQL, AI and more.
Check out the May 2026 Power BI update to learn about new features.
| User | Count |
|---|---|
| 23 | |
| 23 | |
| 21 | |
| 20 | |
| 15 |
| User | Count |
|---|---|
| 58 | |
| 53 | |
| 42 | |
| 30 | |
| 24 |